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Ethics in the use of Data & AI

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A presentation on Ethics in the use of Data & AI presented at HSBC Data & Analytics Summit in Hyderabad

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Ethics in the use of Data & AI

  1. 1. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 1
  2. 2. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx • What is Ethics? • Benefits of AI • Impact of AI on Ethics • Data Canvas & Data Privacy • Conclusion Agenda
  3. 3. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx
  4. 4. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx Let’s start with a video of the Future of Work! Source: Growth Tribe https://www.youtube.com/watch?v=Y9FOyoS3Fag
  5. 5. Perhaps the greatest Computer Scientist ever predicting on Machine Intelligence We have clearly passed the TURING TEST • In 2014 - Eugene Goostman, Simulating a 13 year old passed the Turing test at University of Reading We are seeing Leaps and Bounds in advances of Technology – in Artificial Intelligence, Big Data, Quantum Computing and Processing Power! Let’s hear!
  6. 6. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx What is Ethics anyways? How do you ensure the ethics of Data Capture, Maintenance and Usage of DATA that gets doubled every two years!
  7. 7. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx
  8. 8. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 8 Current Understanding of AI , Data Science , Data Privacy or Data Ethics - A Situation of IT was six men of Indostan To learning much inclined, Who went to see the Elephant (Though all of them were blind), That each by observation Might satisfy his mind. And so these men of Indostan Disputed loud and long, Each in his own opinion Exceeding stiff and strong, Though each was partly in the right, And all were in the wrong! From - The Blind Men and the Elephant by John Godfrey Saxe
  9. 9. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptxSource : https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/ A Good Explanation of Progress of AI E a r l y A I Basic Turing Test Style Use of Memory and Knowledge Post John McCarthy’s Conceptualization Basic Robotics and Degrees of Freedom D e e p L e a r n i n g Rapid Infrastructure Growth Advanced Algorithms Big Data Explosion Quantum Computing M a c h i n e L e a r n i n g Algorithms Centric Statistics Driven Supervised and Unsupervised Learning
  10. 10. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx https://youtu.be/zatL4uFRpC0 Fast Learning – Download and Fly an helicopter Can AI Take us to this stage? How about Fast Data Download – Hey – Can I test this brand new “thing” in 2 minutes? How do we ensure Privacy and Data Ethics
  11. 11. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx Top Human World Champions Royally defeated by AI! 2011 2016 1996/97 IBM’s Deep Blue IBM Watson Google Deepmind AlphaGo won 60–0 rounds on two public Go websites including 3 wins against World Go champion Ke Jie.
  12. 12. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx https://oxism.com/thing-translator/ Take it to next level How can you easily integrate globally. Language will no longer be a barrier.
  13. 13. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 13 A new priest named Mindar is holding forth at Kodaiji, a 400-year-old Buddhist temple in Kyoto, Japan. Like other clergy members, this priest can deliver sermons and move around to interface with worshippers. Mindar is a robot. Designed to look like Kannon, the Buddhist deity of mercy, the $1 million machine is an attempt to reignite people’s passion for their faith in a country where affiliation is on the decline. https://youtu.be/mJDf1GXaF-w Somewhere CLOSE In INDIA • https://youtu.be/tXvMpZHGQGA - Have your Ganpati Arti done by a Robot AI for Spirituality Source: VOX & Multiple Internet Searches
  14. 14. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx But... AI is not without controversies though! Facebook Researchers shut down an AI engine at the Facebook AI Research Lab (FAIR), discovering that the AI created its own unique language undecipherable by humans - Simultaneous glimpse of both the awesome and horrifying potential of AI Elon Musk - “AI is Potentially more Dangerous than Nukes” sets up a $1 billion (£770M) OpenAI.org to try and promote safe development of AI Vladimir Putin - “Whoever masters AI will rule the world!” ISAAC ASIMOV’s Laws of Robotics 1. A robot may not injure a human being or, through inaction, allow a human being to come to harm. 2. A robot must obey orders given it by human beings except where such orders would conflict with the First Law. 3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
  15. 15. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 15
  16. 16. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx Positive Example Money Ball – Great example and Analogy that can be looked at. The best-known Moneyball theory was that on-base percentage was an undervalued asset and sluggers were overvalued. Oakland Athletics and Boston Redsox used the SaberMetrics based analysis to gain a lot of brilliant outcomes Not so Positive People of African American background fill-up 40% of US prisons – Economic impact of $31000 per year. What about having a better systems in place to avoid this unnecessary costs to the society? Source: Multiple Internet Searches
  17. 17. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 17 http://moralmachine.mit.edu/results/465794528 http://moralmachine.mit.edu/
  18. 18. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 18 Microsoft’s AI Fiasco – “REPEAT AFTER ME” - TayTweets Source: Multiple Internet Image Searches
  19. 19. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx Uber Self-Driving Car Fatality in Arizona
  20. 20. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 20 Google’s Translation – Learning Problem – And Correction After initial launch with lesser data set, issues were seen. After a backlash, and a bigger datasets Google Neural Machine Translation got this right! Train the model well – with good and diverse set of data Source: Multiple Internet Searches & Google Blog
  21. 21. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 21 • IBM Watson Led all the way against Jeopardy! Superstar winners. • Watson completely guess wrong, and had an answer so off the mark it shocked the audience • In response to “Its largest airport is named for a World War II hero; its second largest, for a World War II battle” in the category of “U.S. Cities,” Watson said “What is Toronto?” • Reason – There is a Toronto in Illinois - Although it’s too small to have an airport – and Toronto in Canada has an American League baseball team. Toronto is also close the right answer – Chicago’s O’Hare International Airport • Watson Bet cleverly to win the game anyways! • How would a Quizzer with a high IQ answered this question? IBM WATSON’s Big Jeopardy Fiasco! Source: Multiple Internet Image Searches
  22. 22. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 22 Broward County in Florida used a Software to predict and risk rank the citizens to predict future criminals. And it’s biased against blacks. AI Discrimination / Bias due to incorrect data Northpointe’s core product is a set of scores derived from 137 questions that are either answered by defendants or pulled from criminal records Source: ProPublica Article
  23. 23. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 23 What are some challenges of Automated Decision Making? Source: Future of Privacy Forum
  24. 24. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 24 Every breath you take Every move you make Every bond you break Every step you take I'll be watching you Every single day Every word you say Every game you play Every night you stay I'll be watching you Oh can't you see You belong to me My poor heart aches With every step you take Every move you make Every vow you break Every smile you fake Every claim you stake I'll be watching you Since you've gone I been lost without a trace I dream at night I can only see your face I look around but it's you I can't replace I feel so cold and I long for your embrace I keep crying baby, baby, please Oh can't you see You belong to me My poor heart aches With every step you take Every move you make Every vow you break Every smile you fake Every claim you stake I'll be watching you Every move you make Every step you take I'll be watching you I'll be watching you - Lyrics from POLICE Song Big Brother Policing – Ethics? Source: Multiple Internet Searches
  25. 25. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 25 Is AI – Good or Bad? – Some Chat Examples Source: Multiple Internet Image Searches
  26. 26. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 26 AI Driven Chatbot for Moral Policing and Spiritual Help Source: Multiple Internet Image Searches
  27. 27. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 27 AI Chatbot Failures – Due to Missing Context Still a long way to go to meet the forecast of 1-human brain by an AI driven machine Source: Multiple Internet Image Searches
  28. 28. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 28 More Chatbot Situations Source: Multiple Internet Image Searches
  29. 29. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 29 What if AI is Biased? Facebook picks 6 projects from India for ethics in AI research awards “Mitigating Bias in Face Recognition for Vast Regional Diversity in India” “Patient-Centric Frameworks for the Evaluation of AI-Enabled Medical Tests” “Targeted Bias in Indian Media Outlets” “Regulatory Impact Assessment of the National AI Market Place of India” “A ‘Public Law of Information’ for India” “Ethical Implications of Delegating Decision-making Journey to AI Systems”
  30. 30. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 30 Problem of Deep Fakes & Cheap Fakes Source: Data & Society
  31. 31. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 31 Bias in Datasets Datasets can become unintentionally biased through • a lack of cohort diversity • technical processes of data collection and cleaning • the specific incorporation of electronic health record data. Bias in Outcomes The outcomes of precision medicine research can be discriminatory in many ways • too much focus on individual responsibility for health • the marginalization of those population groups with lower health literacy or in less resourced areas • the potential to shift the accepted forms of biomedical research. Problem of Bias in Precision Medicine Source : Data&Society – Fairness in Precision Medicine
  32. 32. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 32 • Google isworking with the United States Department of Defense on drone software called "Project Maven." • The project applied Google's image- recognition techniques to the millions of hours of drone footage collected by the military with the goal of identifying people and objects of interest. • Laura Nolan, who resigned from Google last year in protest at being sent to work on a project to dramatically enhance US military drone technology, has called for all AI killing machines not operated by humans to be banned. • Nolan said killer robots not guided by human remote control should be outlawed by the same type of international treaty that bans chemical weapons. Source: https://www.theguardian.com/technology/2019/sep/15/ex-google-worker-fears-killer-robots-cause-mass-atrocities
  33. 33. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx Drone based autonomous Weapons –Impact on humanity
  34. 34. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 34 • https://www.theguardian.com/us- news/2019/sep/07/pentagon-military- artificial-intelligence-ethicist • Wanted: military “ethicist”. Skills: data crunching, machine learning, killer robots. Must have: cool head, moral compass and the will to say no to generals, scientists and even presidents. • The Pentagon is looking for the right person to help it navigate the morally murky waters of artificial intelligence (AI), billed as the battlefield of the 21st century. • “One of the positions we are going to fill will be someone who’s not just looking at technical standards, but who’s an ethicist,” Lt Gen Jack Shanahan, director of the Joint Artificial Intelligence Center (JAIC) at the US defense department, told reporters last week.
  35. 35. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 35 Can AI and Big Data help Bangalore solve the woeful traffic Problem – and possibly become a role-model For other big metros’ to emulate? Source: Inshorts / Deccan Herald
  36. 36. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx A human doctor in the US • Goes through 16 years of education before entering medical school • Has to pass through internship and residency before practicing medicine. • After all these a human Dr. needs several decades of experience to become a qualified cancer expert. AI expert or an IBM Watson will probably need two to five years of “learning” to become as knowledgeable. It is the complexity of the domain that defines how long Watson will take to learn it. Will we have a Dr. AI How-Sir M.D?
  37. 37. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx Will we have a Dr. AI How-Sir M.D?
  38. 38. 38 Image Source: Machine Learning, XKCD
  39. 39. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx “ 39 Source: https://www.credit-suisse.com/eg/en/articles/asset-management/in-cloud-we-trust-uk-201905.tag*article-topic--asset-management---security.html Doubling Data – Will it be a Trouble?
  40. 40. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx “ More than 5 Million ROOMBA iROBOTs Sold in 2017 Who’s Problem is it anyways? Will the machines be intelligent enough to avoid issues? Source: https://towardsdatascience.com/5-principles-for-big-data-ethics-b5df1d105cd3
  41. 41. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 6 © 2019 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. DPO: And make sure we protect our assets’ privacy. CEO CISODPO CDO CIO Responsibility and Data Ownership Is Split CFO: Let’s manage data as a real asset. Data is one of our most risky assets. CISO: I don’t have enough resources to protect this toxic asset. CMO CFO CDO: Data is our greatest monetization asset. CEO: Data is one of our greatest competitive assets. Consultant: Data vs. information vs. knowledge vs. wisdom … blah blah blah … Source: Gartner
  42. 42. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 42 How can we Govern Data ? Source: Medium
  43. 43. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx Techniques of SOURCE HACKING provide journalists, news organizations, platform companies, and others with a new vocabulary Source Hacking is a tool for generating Virality of Posts, so that terms such as “trolling” and “trending” ado not stand in for concerted efforts to pollute the information environment Misinformation and Spread of Hate / Fake News 43 Viral Sloganeering • repackaging reactionary talking points for social media and press amplification Leak Forgery • prompting a media spectacle by sharing forged documents Evidence Collages • compiling information from multiple sources into a single, shareable document, usually as an image Keyword Squatting • the strategic domination of keywords and sockpuppet accounts (A sockpuppet is an online identity used for purposes of deception) to misrepresent groups or individuals Source: Data & Society
  44. 44. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx Data Ethics & AI – Media Content Moderation Case 44 Source: Data & Society
  45. 45. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 45 Have a Data Ethics Governance Framework Data sources Limitations in data sources Sharing data with others Ethical and legislative context Rights around data sources Your reason for using data Communicating your purpose Positive effects on people Negative effects on people Minimising negative impact Engaging with people Openness and transparency Ongoing implementation Reviews and iterations Your actions Source: The ODI
  46. 46. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 46 Use the Data Governance to drive innovation ethically Use the data with an aim to make a positive impact Decide •Your approach Create •Strategize and Create your Data Governance Strategy Steward •Steward and maintain the data Ethically Use •Innovation / Capability / Infrastructure •Ethics / Equity / Engagement •Leverage Trust / Openness / Network with Standardization bodies such as theODI.org / Fast.AI etc, Source: The ODI
  47. 47. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 47 AI Governance Model – A Layered View* Source: Urs Gasser and Virgilio A.F. Almeida https://dash.harvard.edu/bitstream/handle/1/34390353/w6gov-18-LATEX.pdf?sequence=1 AI-based systems are “black boxes,” resulting in massive information asymmetries between the developers of such systems and consumers and policymakers. How do we address this? How do we handle issues such as ? • Justice and equality • Use of force • Safety and certification • Privacy • Displacement of labor and taxation • Information asymmetries • Finding normative consensus • Government mismatches AI Blackbox issues
  48. 48. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 48 AI and Governance AI Governance Challenge in Society • AI is built by humans and it will be shaped by human values. If we build AI systems that are a mirror to our current societies, they will be riddled with the historical biases and inequalities of our societies - Amnesty International • Most of the AI programmers are White, Male and Young Computer Scientists – How will it address the diverse landscape? City Centric AI Policy • In 2017, New York City passed a law that aims to help ensure that algorithms used by city agencies are transparent, fair, and valid by setting up a task force to make recommendations on algorithmic regulation, transparency, and bias. While these rules apply only to New York and do not appeal to human rights directly, this move to regulate AI may become a model for other cities. National AI Policy • In 2018, the Australia Human Rights Commission launched a project to directly address the human rights impact of AI and emerging technologies, which includes a robust engagement of international human rights law and may serve as a guide for other countries Source: Data & Society
  49. 49. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx 49 Sample Corporate AI Principle / Vision - Google Be socially beneficial Avoid creating or reinforcing unfair bias Be built and tested for safety Be accountable to people Incorporate privacy design principles Uphold high standards of scientific excellence Be made available for uses that accord with these principles Technologies that cause or are likely to cause overall harm. Where there is a material risk of harm, we will proceed only where we believe that the benefits substantially outweigh the risks, and will incorporate appropriate safety constraints. Weapons or other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people. Technologies that gather or use information for surveillance violating internationally accepted norms. Technologies whose purpose contravenes widely accepted principles of international law and human rights. Don’ts
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  51. 51. HSBC - DNA Summit - Ethics in Use of Data and AI - Speech - Kalilur Rahman v2.pptx

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